Embedded newform data - 1764.4.k.v.1549.1

Formats: - HTML - YAML - JSON - 2025-05-18T18:12:05.226981

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 28224, 'analytic_conductor': 104.07936925012645, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 3, 'char_parity': 1, 'char_values': [1764, 3, [883, 785, 1081], [3, 3, 2]], 'cm_discs': [], 'conrey_index': 361, 'dim': 4, 'field_disc': 7056, 'field_disc_factorization': [[2, 4], [3, 2], [7, 2]], 'field_poly': [49, 0, 7, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [63504, 0, 252, 0, 1]], [11, [63504, 0, 252, 0, 1]], [13, [-26, 1]]], 'hecke_orbit': 22, 'hecke_orbit_code': 94576279436658404, 'hecke_ring_generator_nbound': 25, 'hecke_ring_index': 36, 'hecke_ring_index_factorization': [[2, 2], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0], [1, 1, 21, 8, -1, 6, 0], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1764.4.k.v', 'level': 1764, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '252.4.a.f', 'nf_label': '4.0.7056.3', 'prim_orbit_index': 3, 'qexp_display': 'q+\\beta _{1}q^{5}+(-\\beta _{1}-\\beta _{3})q^{11}+26q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1764.4.k', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2242157625309109306, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.876', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '95.855', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3762.418', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, -254, 0, 0, 0, 0, 0, -424, 0, 0, 0, 0, 0, -436, 0, 0, 0, 0, 0, 1040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1008, 0, 0, 0, 0, 0, 644, 0, 0, 0, 0, 0, -712, 0, 0, 0, 0, 0, 452, 0, 0, 0, 0, 0, -880, 0, 0, 0, 0, 0, -5040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5320, 0, 0, 0, 0, 0, 3608, 0, 0, 0, 0, 0, 908, 0, 0, 0, 0, 0, -1512, 0, 0, 0, 0, 0, 2158, 0, 0, 0, 0, 0, -3616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3520, 0, 0, 0, 0, 0, 8064, 0, 0, 0, 0, 0, -7024, 0, 0, 0, 0, 0, 644, 0, 0, 0, 0, 0, -6808, 0, 0, 0, 0, 0, -6084, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2008, 0, 0, 0, 0, 0, 2520, 0, 0, 0, 0, 0, -2620, 0, 0, 0, 0, 0, -9184, 0, 0, 0, 0, 0, -12600, 0, 0, 0, 0, 0, -7120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16352, 0, 0, 0, 0, 0, 12764, 0, 0, 0, 0, 0, -13104, 0, 0, 0, 0, 0, -8428, 0, 0, 0, 0, 0, -3536, 0, 0, 0, 0, 0, 3024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30240, 0, 0, 0, 0, 0, 12488, 0, 0, 0, 0, 0, -16252, 0, 0, 0, 0, 0, 1208, 0, 0, 0, 0, 0, -2774, 0, 0, 0, 0, 0, -18144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6544, 0, 0, 0, 0, 0, 10076, 0, 0, 0, 0, 0, 8064, 0, 0, 0, 0, 0, -6604, 0, 0, 0, 0, 0, -856, 0, 0, 0, 0, 0, -36424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7336, 0, 0, 0, 0, 0, 35784, 0, 0, 0, 0, 0, 4470, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, -11548, 0, 0, 0, 0, 0, -48016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15120, 0, 0, 0, 0, 0, -6940, 0, 0, 0, 0, 0, -11024, 0, 0, 0, 0, 0, 23684, 0, 0, 0, 0, 0, 8064, 0, 0, 0, 0, 0, 62072, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16024, 0, 0, 0, 0, 0, 15008, 0, 0, 0, 0, 0, -6552, 0, 0, 0, 0, 0, -12600, 0, 0, 0, 0, 0, -20428, 0, 0, 0, 0, 0, -5632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34544, 0, 0, 0, 0, 0, -11336, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, -162520, 0, 0, 0, 0, 0, -53848, 0, 0, 0, 0, 0, 35784, 0, 0, 0, 0, 0, 12992, 0, 0, 0, 0, 0, 16744, 0, 0, 0, 0, 0, -131040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 155456, 0, 0, 0, 0, 0, -35360, 0, 0, 0, 0, 0, -72832, 0, 0, 0, 0, 0, 34604, 0, 0, 0, 0, 0, 87696, 0, 0, 0, 0, 0, 160492, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, -51016, 0, 0, 0, 0, 0, 111384, 0, 0, 0, 0, 0, -18512, 0, 0, 0, 0, 0, -21676, 0, 0, 0, 0, 0, 88400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 228816, 0, 0, 0, 0, 0, -75600, 0, 0, 0, 0, 0, -13624, 0, 0, 0, 0, 0, 8064, 0, 0, 0, 0, 0, 2336, 0, 0, 0, 0, 0, 110744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -129016, 0, 0, 0, 0, 0, -37800, 0, 0, 0, 0, 0, 11752, 0, 0, 0, 0, 0, -79128, 0, 0, 0, 0, 0, -30306, 0, 0, 0, 0, 0, 175808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13104, 0, 0, 0, 0, 0, -37296, 0, 0, 0, 0, 0, -21520, 0, 0, 0, 0, 0, 19940, 0, 0, 0, 0, 0, -45360, 0, 0, 0, 0, 0, -127096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43064, 0, 0, 0, 0, 0, -22880, 0, 0, 0, 0, 0, -14404, 0, 0, 0, 0, 0, 42032, 0, 0, 0, 0, 0, -34272, 0, 0, 0, 0, 0, -6640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 174608, 0, 0, 0, 0, 0, 39476, 0, 0, 0, 0, 0, -66040, 0, 0, 0, 0, 0, -39312, 0, 0, 0, 0, 0, 76064, 0, 0, 0, 0, 0, 164888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -131040, 0, 0, 0, 0, 0, -7560, 0, 0, 0, 0, 0, 118220, 0, 0, 0, 0, 0, 83696, 0, 0, 0, 0, 0, 26588, 0, 0, 0, 0, 0, -308448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 184864, 0, 0, 0, 0, 0, -25372, 0, 0, 0, 0, 0, 43792, 0, 0, 0, 0, 0, 69552, 0, 0, 0, 0, 0, 51944, 0, 0, 0, 0, 0, -11088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -403200, 0, 0, 0, 0, 0, 169848, 0, 0, 0, 0, 0, -54028, 0, 0, 0, 0, 0, -178920, 0, 0, 0, 0, 0, -63004, 0, 0, 0, 0, 0, -90720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -262912, 0, 0, 0, 0, 0, 71708, 0, 0, 0, 0, 0, -56448, 0, 0, 0, 0, 0, 27860, 0, 0, 0, 0, 0, 45360, 0, 0, 0, 0, 0, -138320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96832, 0, 0, 0, 0, 0, 144032, 0, 0, 0, 0, 0, -26712, 0, 0, 0, 0, 0, 69944, 0, 0, 0, 0, 0, -111172, 0, 0, 0, 0, 0, -223840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17136, 0, 0, 0, 0, 0, -54100, 0, 0, 0, 0, 0, -63472, 0, 0, 0, 0, 0, -110240, 0, 0, 0, 0, 0, 93808, 0, 0, 0, 0, 0, 174384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54432, 0, 0, 0, 0, 0, 209664, 0, 0, 0, 0, 0, 6258, 0, 0, 0, 0, 0, -1008, 0, 0, 0, 0, 0, -123748, 0, 0, 0, 0, 0, -61472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 114416, 0, 0, 0, 0, 0, 97776, 0, 0, 0, 0, 0, -40320, 0, 0, 0, 0, 0, 23608, 0, 0, 0, 0, 0, -154192, 0, 0, 0, 0, 0, 82088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84672, 0, 0, 0, 0, 0, 95288, 0, 0, 0, 0, 0, -155668, 0, 0, 0, 0, 0, -71176, 0, 0, 0, 0, 0, -243432, 0, 0, 0, 0, 0, -225760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 373904, 0, 0, 0, 0, 0, 19268, 0, 0, 0, 0, 0, -39312, 0, 0, 0, 0, 0, -59840, 0, 0, 0, 0, 0, 51408, 0, 0, 0, 0, 0, -65520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -163576, 0, 0, 0, 0, 0, -41920, 0, 0, 0, 0, 0, -241920, 0, 0, 0, 0, 0, -104128, 0, 0, 0, 0, 0, -93460, 0, 0, 0, 0, 0, -207648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -222160, 0, 0, 0, 0, 0, 56108, 0, 0, 0, 0, 0, -182200, 0, 0, 0, 0, 0, -313488, 0, 0, 0, 0, 0, -113360, 0, 0, 0, 0, 0, 97640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 46712, 0, 0, 0, 0, 0, 171360, 0, 0, 0, 0, 0, 72116, 0, 0, 0, 0, 0, 11672, 0, 0, 0, 0, 0, 107352, 0, 0, 0, 0, 0, -163296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -94016, 0, 0, 0, 0, 0, 76748, 0, 0, 0, 0, 0, 49184, 0, 0, 0, 0, 0, 180044, 0, 0, 0, 0, 0, -90424, 0, 0, 0, 0, 0, 354316, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -213256, 0, 0, 0, 0, 0, 157328, 0, 0, 0, 0, 0, -106848, 0, 0, 0, 0, 0, -145152, 0, 0, 0, 0, 0, 37800, 0, 0, 0, 0, 0, -496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 123984, 0, 0, 0, 0, 0, 239684, 0, 0, 0, 0, 0, -68008, 0, 0, 0, 0, 0, -139996, 0, 0, 0, 0, 0, 63152, 0, 0, 0, 0, 0, -666288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -239176, 0, 0, 0, 0, 0, -31864, 0, 0, 0, 0, 0, 41228, 0, 0, 0, 0, 0, 424872, 0, 0, 0, 0, 0, -230092, 0, 0, 0, 0, 0, -91520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 55440, 0, 0, 0, 0, 0, 57404, 0, 0, 0, 0, 0, 96560, 0, 0, 0, 0, 0, 87696, 0, 0, 0, 0, 0, 180880, 0, 0, 0, 0, 0, -47628, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6280, 0, 0, 0, 0, 0, 29120, 0, 0, 0, 0, 0, 135812, 0, 0, 0, 0, 0, -190936, 0, 0, 0, 0, 0, 209664, 0, 0, 0, 0, 0, -273056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -222768, 0, 0, 0, 0, 0, 24192, 0, 0, 0, 0, 0, -223776, 0, 0, 0, 0, 0, 282240, 0, 0, 0, 0, 0, -327600, 0, 0, 0, 0, 0, -339112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76608, 0, 0, 0, 0, 0, -39616, 0, 0, 0, 0, 0, 245344, 0, 0, 0, 0, 0, -182624, 0, 0, 0, 0, 0, -114408, 0, 0, 0, 0, 0, 223520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -164704, 0, 0, 0, 0, 0, 113036, 0, 0, 0, 0, 0, 161024, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.2622932623483826, -0.12073452518633689, -0.1624442822084288, -0.382340867566044, -0.3153410381745715, -0.4335379100917232, -0.2920160728070728, -0.061586846882203096, 0.21893644345591937, 0.18371376859057312, -0.14942089379746823, -0.03348521518192383, -0.0431133852147939, -0.25155624206253047, -0.4022844352074086, 0.17078710993225354, -0.014547795580815584, -0.24704829809794934, -0.48367364574963556, -0.3954486949979834, -0.09997648386906577, 0.0649208471095121, -0.4985958432155569, -0.2863729259541061, -0.33310844948733015, 0.043496915296354785, -0.43499848638877486, -0.24427620715321743, -0.4558317576193512, -0.28733603367580846, -0.3652263244830366, -0.40408353273963105, -0.008971614644387702], 'char_orbit_index': 11, 'conrey_index': 1549, 'dual_conrey_index': 361, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 3, 'embedding_root_imag': 2.29128784747792, 'embedding_root_real': -1.3228756555322954, 'hecke_orbit': 22, 'hecke_orbit_code': 94576279436658404, 'label': '1764.4.k.v.1549.1', 'level': 1764, 'weight': 4}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 28224, 'analytic_conductor': 104.07936925012645, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 3, 'char_parity': 1, 'char_values': [1764, 3, [883, 785, 1081], [3, 3, 2]], 'conrey_index': 361, 'cusp_dim': 1920, 'dim': 100, 'eis_dim': 192, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13], 'hecke_orbit_code': 687261877988, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 8, 8, 8], 'label': '1764.4.k', 'level': 1764, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 2112, 'mf_new_dim': 100, 'num_forms': 30, 'prim_orbit_index': 3, 'relative_dim': 50, 'sturm_bound': 1344, 'trace_bound': 17, 'trace_display': [0, 0, 6, 0], 'traces': [100, 0, 0, 0, 6, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 30, 0, -40, 0, 0, 0, 40, 0, -1100, 0, 0, 0, -224, 0, 168, 0, 0, 0, 0, 0, 50, 0, 0, 0, -816, 0, -488, 0, 0, 0, -48, 0, 0, 0, 0, 0, 86, 0, 656, 0, 0, 0, 1152, 0, -918, 0, 0, 0, 1764, 0, -808, 0, 0, 0, 2856, 0, -1262, 0, 0, 0, 0, 0, -1448, 0, 0, 0, -2832, 0, -244, 0, 0, 0, 858, 0, 0, 0, 0, 0, -3664, 0, 976, 0, 0, 0, 4170, 0, 2108, 0, 0, 0, 1624, 0, -942, 0, 0, 0, 10536, 0, -4504, 0, 0, 0, 0, 0, -11208, 0, 0, 0, -9276, 0, 8296, 0, 0, 0, 1872, 0, 0, 0, 0, 0, 282, 0, 10144, 0, 0, 0, 8748, 0, -1472, 0, 0, 0, 3410, 0, -4016, 0, 0, 0, 11712, 0, -4942, 0, 0, 0, 0, 0, -12292, 0, 0, 0, -15024, 0, 25700, 0, 0, 0, 3702, 0, 0, 0, 0, 0, -3024, 0, 3264, 0, 0, 0, 17622, 0, -2144, 0, 0, 0, 17740, 0, -9586, 0, 0, 0, 3736, 0, -4636, 0, 0, 0, 0, 0, -12916, 0, 0, 0, -23796, 0, -1776, 0, 0, 0, -1956, 0, 0, 0, 0, 0, -16788, 0, 13016, 0, 0, 0, 15696, 0, -10298, 0, 0, 0, 5562, 0, 768, 0, 0, 0, 49656, 0, -7558, 0, 0, 0, 0, 0, -11208, 0, 0, 0, -29280, 0, 12020, 0, 0, 0, 10950, 0, 0, 0, 0, 0, -16032, 0, 39780, 0, 0, 0, 26598, 0, 6288, 0, 0, 0, 23172, 0, -5070, 0, 0, 0, 37136, 0, -14096, 0, 0, 0, 0, 0, -36348, 0, 0, 0, -32784, 0, 4176, 0, 0, 0, -960, 0, 0, 0, 0, 0, -41762, 0, -18464, 0, 0, 0, 18036, 0, -1346, 0, 0, 0, 662, 0, -25692, 0, 0, 0, -4840, 0, -21300, 0, 0, 0, 0, 0, -29924, 0, 0, 0, -18264, 0, 35480, 0, 0, 0, 16266, 0, 0, 0, 0, 0, -9084, 0, -6296, 0, 0, 0, 27798, 0, -1456, 0, 0, 0, 30068, 0, -12764, 0, 0, 0, -5732, 0, -12064, 0, 0, 0, 0, 0, -11022, 0, 0, 0, -32040, 0, 24920, 0, 0, 0, -15732, 0, 0, 0, 0, 0, 10678, 0, 49576, 0, 0, 0, 4008, 0, 6198, 0, 0, 0, -18402, 0, -6824, 0, 0, 0, 105872, 0, -7762, 0, 0, 0, 0, 0, -7844, 0, 0, 0, -15504, 0, 49216, 0, 0, 0, 21984, 0, 0, 0, 0, 0, 32436, 0, -14560, 0, 0, 0, 17058, 0, -9048, 0, 0, 0, 39592, 0, -9150, 0, 0, 0, -62136, 0, 22392, 0, 0, 0, 0, 0, 6870, 0, 0, 0, 3576, 0, -102992, 0, 0, 0, -24456, 0, 0, 0, 0, 0, 11536, 0, 208, 0, 0, 0, -24984, 0, -17904, 0, 0, 0, -30928, 0, 66560, 0, 0, 0, -43344, 0, -15172, 0, 0, 0, 0, 0, 6768, 0, 0, 0, 50808, 0, 51652, 0, 0, 0, 23838, 0, 0, 0, 0, 0, 34048, 0, 65196, 0, 0, 0, 6294, 0, 42416, 0, 0, 0, -24888, 0, -36220, 0, 0, 0, 22728, 0, 36072, 0, 0, 0, 0, 0, 6522, 0, 0, 0, 24876, 0, -69624, 0, 0, 0, -31020, 0, 0, 0, 0, 0, -46014, 0, -158688, 0, 0, 0, -59448, 0, -32540, 0, 0, 0, -9010, 0, -24220, 0, 0, 0, 34176, 0, 24550, 0, 0, 0, 0, 0, 66752, 0, 0, 0, 36864, 0, 49132, 0, 0, 0, 21930, 0, 0, 0, 0, 0, 37996, 0, 41144, 0, 0, 0, -26208, 0, -6912, 0, 0, 0, -41016, 0, 66198, 0, 0, 0, -136024, 0, 41416, 0, 0, 0, 0, 0, 59010, 0, 0, 0, 29916, 0, -91608, 0, 0, 0, -63768, 0, 0, 0, 0, 0, 946, 0, 93824, 0, 0, 0, -87936, 0, 24566, 0, 0, 0, 8226, 0, 83664, 0, 0, 0, 39000, 0, -14954, 0, 0, 0, 0, 0, 61384, 0, 0, 0, 138240, 0, -40560, 0, 0, 0, 50130, 0, 0, 0, 0, 0, 88728, 0, -275084, 0, 0, 0, -42600, 0, 37544, 0, 0, 0, -81040, 0, -94480, 0, 0, 0, -226176, 0, 51964, 0, 0, 0, 0, 0, 39750, 0, 0, 0, 101796, 0, -277072, 0, 0, 0, -80556, 0, 0, 0, 0, 0, 61680, 0, -54152, 0, 0, 0, -96720, 0, -61434, 0, 0, 0, -93738, 0, 84332, 0, 0, 0, -150016, 0, 28842, 0, 0, 0, 0, 0, 155400, 0, 0, 0, 107568, 0, 191608, 0, 0, 0, 54174, 0, 0, 0, 0, 0, 14556, 0, 106696, 0, 0, 0, -60006, 0, 139608, 0, 0, 0, 8828, 0, -25808, 0, 0, 0, -235012, 0, -2640, 0, 0, 0, 0, 0, 28492, 0, 0, 0, 79536, 0, -136504, 0, 0, 0, -77952, 0, 0, 0, 0, 0, -17714, 0, -252992, 0, 0, 0, -142824, 0, -41876, 0, 0, 0, -82926, 0, 7572, 0, 0, 0, -44832, 0, 42790, 0, 0, 0, 0, 0, 78432, 0, 0, 0, 158424, 0, 172308, 0, 0, 0, 56166, 0, 0, 0, 0, 0, 36808, 0, 83840, 0, 0, 0, -22074, 0, -97864, 0, 0, 0, 34780, 0, 229238, 0, 0, 0, -42356, 0, 65856, 0, 0, 0, 0, 0, 108558, 0, 0, 0, 35400, 0, -277232, 0, 0, 0, -104544, 0, 0, 0, 0, 0, -25558, 0, 210984, 0, 0, 0, -111576, 0, 75438, 0, 0, 0, -116496, 0, 23184, 0, 0, 0, 88888, 0, 14788, 0, 0, 0, 0, 0, 91052, 0, 0, 0, 54960, 0, -25688, 0, 0, 0, 55362, 0, 0, 0, 0, 0, 136888, 0, -426664, 0, 0, 0, 30378, 0, 106704, 0, 0, 0, -47772, 0, -150344, 0, 0, 0, -128080, 0, 162000, 0, 0, 0, 0, 0, 26924, 0, 0, 0, 33660, 0, -273640, 0, 0, 0, -50328, 0, 0, 0, 0, 0, -126222, 0, 26016, 0, 0, 0, -129564, 0, -219556, 0, 0, 0, -68152, 0, 326600, 0, 0, 0, 104448, 0, 5198, 0, 0, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48423248
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 1549, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 94576279436658404, 'target_is_minimal': False, 'target_label': '1764.4.k.v.1549.1', 'target_level': 1764, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48423249
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 1549, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 94576279436658404, 'target_is_minimal': False, 'target_label': '1764.4.k.v.1549.2', 'target_level': 1764, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48423250
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998203961596, 'target_is_minimal': True, 'target_label': '252.4.a.f.1.2', 'target_level': 252, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48423251
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 361, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 90072679809287908, 'target_is_minimal': False, 'target_label': '1764.4.k.u.361.2', 'target_level': 1764, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48423252
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 361, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 94576279436658404, 'target_is_minimal': False, 'target_label': '1764.4.k.v.361.1', 'target_level': 1764, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48423253
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81064793359779556, 'target_is_minimal': False, 'target_label': '1764.4.a.s.1.1', 'target_level': 1764, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48423254
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 1549, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 90072679809287908, 'target_is_minimal': False, 'target_label': '1764.4.k.u.1549.2', 'target_level': 1764, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 48423255
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998203961596, 'target_is_minimal': True, 'target_label': '252.4.a.f.1.1', 'target_level': 252, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48423256
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793359779556, 'target_is_minimal': False, 'target_label': '1764.4.a.s.1.2', 'target_level': 1764, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48423257
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 361, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 94576279436658404, 'target_is_minimal': False, 'target_label': '1764.4.k.v.361.2', 'target_level': 1764, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48423258
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 361, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90072679809287908, 'target_is_minimal': False, 'target_label': '1764.4.k.u.361.1', 'target_level': 1764, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 4}
  • id: 48423259
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 1549, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90072679809287908, 'target_is_minimal': False, 'target_label': '1764.4.k.u.1549.1', 'target_level': 1764, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
  • id: 48423260
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 126100789633483760, 'target_is_minimal': False, 'target_label': '1008.4.a.bc.1.2', 'target_level': 1008, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 4}
  • id: 48423261
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1549, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 94576279436658404, 'source_is_minimal': False, 'source_label': '1764.4.k.v.1549.1', 'source_level': 1764, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 126100789633483760, 'target_is_minimal': False, 'target_label': '1008.4.a.bc.1.1', 'target_level': 1008, 'twist_class_label': '252.4.a.f.1.1', 'twist_class_level': 252, 'twisting_char_label': '84.23', 'twisting_conrey_index': 23, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2191550
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 94576279436658404, 'p': 2}
  • id: 2191551
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 94576279436658404, 'p': 3}
  • id: 2191552
    {'charpoly_factorization': [[[63504, 0, 252, 0, 1], 1]], 'hecke_orbit_code': 94576279436658404, 'p': 5}
  • id: 2191553
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 94576279436658404, 'p': 7}
  • id: 2191554
    {'charpoly_factorization': [[[63504, 0, 252, 0, 1], 1]], 'hecke_orbit_code': 94576279436658404, 'p': 11}
  • id: 2191555
    {'charpoly_factorization': [[[-26, 1], 4]], 'hecke_orbit_code': 94576279436658404, 'p': 13}
  • id: 2191556
    {'charpoly_factorization': [[[39690000, 0, 6300, 0, 1], 1]], 'hecke_orbit_code': 94576279436658404, 'p': 17}
  • id: 2191557
    {'charpoly_factorization': [[[4624, 68, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 19}
  • id: 2191558
    {'charpoly_factorization': [[[5143824, 0, 2268, 0, 1], 1]], 'hecke_orbit_code': 94576279436658404, 'p': 23}
  • id: 2191559
    {'charpoly_factorization': [[[-64512, 0, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 29}
  • id: 2191560
    {'charpoly_factorization': [[[44944, 212, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 31}
  • id: 2191561
    {'charpoly_factorization': [[[47524, 218, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 37}
  • id: 2191562
    {'charpoly_factorization': [[[-157500, 0, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 41}
  • id: 2191563
    {'charpoly_factorization': [[[-260, 1], 4]], 'hecke_orbit_code': 94576279436658404, 'p': 43}
  • id: 2191564
    {'charpoly_factorization': [[[29019803904, 0, 170352, 0, 1], 1]], 'hecke_orbit_code': 94576279436658404, 'p': 47}
  • id: 2191565
    {'charpoly_factorization': [[[51438240000, 0, 226800, 0, 1], 1]], 'hecke_orbit_code': 94576279436658404, 'p': 53}
  • id: 2191566
    {'charpoly_factorization': [[[6666395904, 0, 81648, 0, 1], 1]], 'hecke_orbit_code': 94576279436658404, 'p': 59}
  • id: 2191567
    {'charpoly_factorization': [[[103684, -322, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 61}
  • id: 2191568
    {'charpoly_factorization': [[[126736, 356, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 67}
  • id: 2191569
    {'charpoly_factorization': [[[-1270332, 0, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 71}
  • id: 2191570
    {'charpoly_factorization': [[[51076, -226, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 73}
  • id: 2191571
    {'charpoly_factorization': [[[193600, 440, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 79}
  • id: 2191572
    {'charpoly_factorization': [[[-64512, 0, 1], 2]], 'hecke_orbit_code': 94576279436658404, 'p': 83}
  • id: 2191573
    {'charpoly_factorization': [[[1813737744, 0, 42588, 0, 1], 1]], 'hecke_orbit_code': 94576279436658404, 'p': 89}
  • id: 2191574
    {'charpoly_factorization': [[[1330, 1], 4]], 'hecke_orbit_code': 94576279436658404, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 11, 'hecke_orbit': 22, 'label': '1764.4.k.v', 'level': 1764, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 65314225
    {'hecke_orbit_code': 94576279436658404, 'n': 1, 'trace_an': 4}
  • id: 65314226
    {'hecke_orbit_code': 94576279436658404, 'n': 2, 'trace_an': 0}
  • id: 65314227
    {'hecke_orbit_code': 94576279436658404, 'n': 3, 'trace_an': 0}
  • id: 65314228
    {'hecke_orbit_code': 94576279436658404, 'n': 4, 'trace_an': 0}
  • id: 65314229
    {'hecke_orbit_code': 94576279436658404, 'n': 5, 'trace_an': 0}
  • id: 65314230
    {'hecke_orbit_code': 94576279436658404, 'n': 6, 'trace_an': 0}
  • id: 65314231
    {'hecke_orbit_code': 94576279436658404, 'n': 7, 'trace_an': 0}
  • id: 65314232
    {'hecke_orbit_code': 94576279436658404, 'n': 8, 'trace_an': 0}
  • id: 65314233
    {'hecke_orbit_code': 94576279436658404, 'n': 9, 'trace_an': 0}
  • id: 65314234
    {'hecke_orbit_code': 94576279436658404, 'n': 10, 'trace_an': 0}
  • id: 65314235
    {'hecke_orbit_code': 94576279436658404, 'n': 11, 'trace_an': 0}
  • id: 65314236
    {'hecke_orbit_code': 94576279436658404, 'n': 12, 'trace_an': 0}
  • id: 65314237
    {'hecke_orbit_code': 94576279436658404, 'n': 13, 'trace_an': 104}
  • id: 65314238
    {'hecke_orbit_code': 94576279436658404, 'n': 14, 'trace_an': 0}
  • id: 65314239
    {'hecke_orbit_code': 94576279436658404, 'n': 15, 'trace_an': 0}
  • id: 65314240
    {'hecke_orbit_code': 94576279436658404, 'n': 16, 'trace_an': 0}
  • id: 65314241
    {'hecke_orbit_code': 94576279436658404, 'n': 17, 'trace_an': 0}
  • id: 65314242
    {'hecke_orbit_code': 94576279436658404, 'n': 18, 'trace_an': 0}
  • id: 65314243
    {'hecke_orbit_code': 94576279436658404, 'n': 19, 'trace_an': -136}
  • id: 65314244
    {'hecke_orbit_code': 94576279436658404, 'n': 20, 'trace_an': 0}
  • id: 65314245
    {'hecke_orbit_code': 94576279436658404, 'n': 21, 'trace_an': 0}
  • id: 65314246
    {'hecke_orbit_code': 94576279436658404, 'n': 22, 'trace_an': 0}
  • id: 65314247
    {'hecke_orbit_code': 94576279436658404, 'n': 23, 'trace_an': 0}
  • id: 65314248
    {'hecke_orbit_code': 94576279436658404, 'n': 24, 'trace_an': 0}
  • id: 65314249
    {'hecke_orbit_code': 94576279436658404, 'n': 25, 'trace_an': -254}
  • id: 65314250
    {'hecke_orbit_code': 94576279436658404, 'n': 26, 'trace_an': 0}
  • id: 65314251
    {'hecke_orbit_code': 94576279436658404, 'n': 27, 'trace_an': 0}
  • id: 65314252
    {'hecke_orbit_code': 94576279436658404, 'n': 28, 'trace_an': 0}
  • id: 65314253
    {'hecke_orbit_code': 94576279436658404, 'n': 29, 'trace_an': 0}
  • id: 65314254
    {'hecke_orbit_code': 94576279436658404, 'n': 30, 'trace_an': 0}
  • id: 65314255
    {'hecke_orbit_code': 94576279436658404, 'n': 31, 'trace_an': -424}
  • id: 65314256
    {'hecke_orbit_code': 94576279436658404, 'n': 32, 'trace_an': 0}
  • id: 65314257
    {'hecke_orbit_code': 94576279436658404, 'n': 33, 'trace_an': 0}
  • id: 65314258
    {'hecke_orbit_code': 94576279436658404, 'n': 34, 'trace_an': 0}
  • id: 65314259
    {'hecke_orbit_code': 94576279436658404, 'n': 35, 'trace_an': 0}
  • id: 65314260
    {'hecke_orbit_code': 94576279436658404, 'n': 36, 'trace_an': 0}
  • id: 65314261
    {'hecke_orbit_code': 94576279436658404, 'n': 37, 'trace_an': -436}
  • id: 65314262
    {'hecke_orbit_code': 94576279436658404, 'n': 38, 'trace_an': 0}
  • id: 65314263
    {'hecke_orbit_code': 94576279436658404, 'n': 39, 'trace_an': 0}
  • id: 65314264
    {'hecke_orbit_code': 94576279436658404, 'n': 40, 'trace_an': 0}
  • id: 65314265
    {'hecke_orbit_code': 94576279436658404, 'n': 41, 'trace_an': 0}
  • id: 65314266
    {'hecke_orbit_code': 94576279436658404, 'n': 42, 'trace_an': 0}
  • id: 65314267
    {'hecke_orbit_code': 94576279436658404, 'n': 43, 'trace_an': 1040}
  • id: 65314268
    {'hecke_orbit_code': 94576279436658404, 'n': 44, 'trace_an': 0}
  • id: 65314269
    {'hecke_orbit_code': 94576279436658404, 'n': 45, 'trace_an': 0}
  • id: 65314270
    {'hecke_orbit_code': 94576279436658404, 'n': 46, 'trace_an': 0}
  • id: 65314271
    {'hecke_orbit_code': 94576279436658404, 'n': 47, 'trace_an': 0}
  • id: 65314272
    {'hecke_orbit_code': 94576279436658404, 'n': 48, 'trace_an': 0}
  • id: 65314273
    {'hecke_orbit_code': 94576279436658404, 'n': 49, 'trace_an': 0}
  • id: 65314274
    {'hecke_orbit_code': 94576279436658404, 'n': 50, 'trace_an': 0}
  • id: 65314275
    {'hecke_orbit_code': 94576279436658404, 'n': 51, 'trace_an': 0}
  • id: 65314276
    {'hecke_orbit_code': 94576279436658404, 'n': 52, 'trace_an': 0}
  • id: 65314277
    {'hecke_orbit_code': 94576279436658404, 'n': 53, 'trace_an': 0}
  • id: 65314278
    {'hecke_orbit_code': 94576279436658404, 'n': 54, 'trace_an': 0}
  • id: 65314279
    {'hecke_orbit_code': 94576279436658404, 'n': 55, 'trace_an': 1008}
  • id: 65314280
    {'hecke_orbit_code': 94576279436658404, 'n': 56, 'trace_an': 0}
  • id: 65314281
    {'hecke_orbit_code': 94576279436658404, 'n': 57, 'trace_an': 0}
  • id: 65314282
    {'hecke_orbit_code': 94576279436658404, 'n': 58, 'trace_an': 0}
  • id: 65314283
    {'hecke_orbit_code': 94576279436658404, 'n': 59, 'trace_an': 0}
  • id: 65314284
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  • id: 65314474
    {'hecke_orbit_code': 94576279436658404, 'n': 947, 'trace_an': 0}
  • id: 65314475
    {'hecke_orbit_code': 94576279436658404, 'n': 953, 'trace_an': 0}
  • id: 65314476
    {'hecke_orbit_code': 94576279436658404, 'n': 961, 'trace_an': -30306}
  • id: 65314477
    {'hecke_orbit_code': 94576279436658404, 'n': 967, 'trace_an': 175808}
  • id: 65314478
    {'hecke_orbit_code': 94576279436658404, 'n': 971, 'trace_an': 0}
  • id: 65314479
    {'hecke_orbit_code': 94576279436658404, 'n': 977, 'trace_an': 0}
  • id: 65314480
    {'hecke_orbit_code': 94576279436658404, 'n': 983, 'trace_an': 0}
  • id: 65314481
    {'hecke_orbit_code': 94576279436658404, 'n': 991, 'trace_an': -21520}
  • id: 65314482
    {'hecke_orbit_code': 94576279436658404, 'n': 997, 'trace_an': 19940}